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algorithm-practice

算法练习

algorithms_and_data_structures

常见的算法和数据结构

androidworkspace

实验室电脑中workspaceAPP备份

capsule-networks

A Tensorflow(v1.4) implementation of Capsule Networks (Dynamic Routing Between Capsules , https://arxiv.org/abs/1710.09829)

cdae

Collaborative Denoising Auto-Encoder for Top-N Recommender Systems

cdae-1

Collaborative Denoising Auto-Encoder (CDAE)

cdae-2

Try to reproduce CDAE from paper

cf-nade

A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.

cofactor

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

collaborative-denoising-auto-encoder

Collaborative Denoising Auto-Encoder for Top-N Recommender Systems (CDAE)

collaborativevae

deep-learning

Stacked Denoising Autoencoders (SDA) implemented in TensorFlow to analyze clinical health records and construct deep learning models to predict future patient complications.

deep-learning-tensorflow

Ready to use implementations of various Deep Learning algorithms using TensorFlow.

django_project

Django开发测试项目

dropoutnet

Python + TensorFlow implementation of the DropoutNet model

dureader

Baseline Systems of DuReader Dataset

just_another_seq2seq

Just another seq2seq repo

lab_workspace

实验室的程序备份

lxq-project

mlalgorithms

Minimal and clean examples of machine learning algorithms

models

Models and examples built with TensorFlow

mxnet-for-cdl

MXNet code CDL

neural_collaborative_filtering

Neural Collaborative Filtering

nmf-example

python example of NMF recommander algorithm

pace2017

A step-by-step Keras implementation of PACE (Preference And Context Embedding) described in our KDD 2017 paper.

pmf

This is a python code for probabilistic matrix factorization in recommendation.

sdae-recommendation

SDAE-recommendation system

seq2seq_chatbot_qa

使用TensorFlow实现的Sequence to Sequence的聊天机器人模型

vae-tensorflow

Implementation of a Variational Auto-Encoder in TensorFlow

wechat_jump_game

微信《跳一跳》Python 辅助